{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T23:18:29Z","timestamp":1785799109541,"version":"3.56.0"},"reference-count":24,"publisher":"Korean Cancer Association","issue":"3","license":[{"start":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T00:00:00Z","timestamp":1755475200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/3.0\/"}],"funder":[{"name":"Chinese Society of Clinical Oncology Foundation","award":["Y-HR2020MS-0421"],"award-info":[{"award-number":["Y-HR2020MS-0421"]}]},{"name":"Jiangsu Province Elderly Health Research Project","award":["LKM2022033"],"award-info":[{"award-number":["LKM2022033"]}]},{"name":"Jiangsu Province Elderly Health Research Project","award":["LKM2023023"],"award-info":[{"award-number":["LKM2023023"]}]},{"name":"China Breast Surgery Young Physician Research Award Advantage Support Program","award":["2020-CHPASLP-01"],"award-info":[{"award-number":["2020-CHPASLP-01"]}]}],"content-domain":{"domain":["e-crt.org"],"crossmark-restriction":true},"short-container-title":["Cancer Res Treat"],"published-print":{"date-parts":[[2026,7,15]]},"abstract":"<jats:p>Purpose Neoadjuvant systemic therapy (NST) is a systemic treatment for locally advanced or initially unresectable breast cancer before surgery. Patients who achieved total pathologic complete response (tpCR) after NST exhibited significantly better overall prognosis than patients with non\u2013pathological complete response.Materials and Methods This study collected baseline indicators, body composition indicators, and tpCR results of breast cancer patients at the First Affiliated Hospital of Nanjing Medical University. Patients were divided into training set and validation set in a ratio of 7:3. Univariable and multivariable logistic regression analyses were performed, and the probability of tpCR was predicted by constructing nomograms based on the results of the multivariable logistic regression analysis.Results The study included 500 patients between 2014 and 2022 with breast cancer who underwent NST. The training set and validation set consist of 350 and 150 patients, respectively. Patients with progesterone receptor\u2013negative status (p &lt; 0.001), human epidermal growth factor receptor 2\u2013positive status (p &lt; 0.001), large body surface area (p=0.091), low skeletal muscle index (p=0.008), and high skeletal muscle density (p=0.004) were more likely to achieve tpCR. Patients with American Joint Committee on Cancer (AJCC) T-stage 4 (p=0.126), AJCC N-stage 1 (p=0.026) were less likely to achieve tpCR.Conclusion Existing tpCR prediction models mostly focus on tumor biological characteristics and ignore the effect of body compositions. This study constructed a nomogram to predict tpCR in patients with breast cancer undergoing NST based on baseline and body composition indicators. This nomogram can help assess efficacy and optimize treatment strategies, thus improving the overall prognosis of patients.<\/jats:p>","DOI":"10.4143\/crt.2025.456","type":"journal-article","created":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T05:55:13Z","timestamp":1755496513000},"page":"815-823","update-policy":"https:\/\/doi.org\/10.4143\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Nomograms Integrating Body Composition Metrics Predict Total Pathologic Complete Response after Neoadjuvant Systemic Therapy for Breast Cancer"],"prefix":"10.4143","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7558-2070","authenticated-orcid":true,"given":"Jingjing","family":"Ding","sequence":"first","affiliation":[{"name":"Department of Breast Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 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